Title | Optimized multicore architectures for data parallel fast Fourier transform |
Creator | |
Date Issued | 2013 |
Conference Name | 14th International Conference on Computer Systems and Technologies |
Source Publication | ACM International Conference Proceeding Series
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Volume | 767 |
Pages | 75-82 |
Conference Date | June 28-29, 2013 |
Conference Place | Xi'an |
Abstract | In this paper, we propose optimized multicore designs for data parallel Fast Fourier Transform (FFT) applications. FFT is widely used in digital systems as a fundamental algorithm. The implementation of FFT on conventional architectures has been studied. However, the evaluation of data parallel FFT in Network-on-Chip (NoC) platforms has not been well addressed. We analyse data parallel FFT in terms of on-chip traffic patterns. NoC designs optimized for FFT are introduced. Experiments show that, the execution times of our optimized designs are 12.1% and 18.3% shorter than the original NoC design. © 2013 ACM. |
Keyword | data parallel FFT multicore network-on-chip optimization |
DOI | 10.1145/2516775.2516808 |
URL | View source |
Language | 英语English |
Scopus ID | 2-s2.0-84889567543 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/9311 |
Collection | Research outside affiliated institution |
Affiliation | Department of Information Technology,University of Turku,FIN-20014, Turku,Finland |
Recommended Citation GB/T 7714 | Xu, Thomas Canhao,Pahikkala, Tapio,Liljeberg, Pasiet al. Optimized multicore architectures for data parallel fast Fourier transform[C], 2013: 75-82. |
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